brainGraph (version 3.1.0)

GLM model selection: Model selection for bg_GLM objects

Description

These functions compute the log-likelihood and Akaike's An Information Criterion (AIC) of a bg_GLM object. See logLik.lm and extractAIC for details.

Usage

# S3 method for bg_GLM
logLik(object, REML = FALSE, ...)
# S3 method for bg_GLM
extractAIC(fit, scale = 0, k = 2, ...)

Value

logLik returns an object of class logLik with several attributes. extractAIC returns a numeric vector in which the first element is the equivalent degrees of freedom and the remaining are the AIC's for each region

Arguments

object, fit

A bg_GLM object

REML

Logical indicating whether to return the restricted log-likelihood. Default: FALSE

...

Unused

scale

Should be left at its default

k

Numeric; the weight of the equivalent degrees of freedom

Details

The functions AIC and BIC will also work for bg_GLM objects because they each call logLik.